DevOps or integrated deploy & test is an umbrella term for provisioning automation in operation & development phases, putting more emphasis on quality assurance during the Application management lifecycle otherwise it is the process framework that follows automation in forms of al code to save it, update it, measure & evolve it. With using imagine management, patch management, Auto Env deployment &startup& stop scripts & rolling the upgrades, ultimately securing the configuration.
The development stage requires SCM version & build scripts with dependency map coupled Component deploy & system deploy, and all the processes are automated, even building & deploy.
With all the above, the paradigm inputs continuous feedback automated testing to run test scripts to test deploy, load/ soak scripts with data provisioning & benchmarking test reports for future use. With this practice, every team involved namely the
- Development team
- Operation team
- Quality assurance team
Look back constantly & post their present information in a repository so that it never hampers the continuous business flow planning. The feedback loop works on collaborative development, continuous testing, continuous-release & deployment with continuous monitoring & customer feedback optimization. Ultimately forming an ecosystem that follows & steers the standard practices.
In the development phase, a GitHub version control master is used to pull down & create local feature branching to create a pull request.
Then comes the peer review phase where reviews are done on matters like bug check, security analysis & then passing the build again to the GitHub version control master.
Then it goes for quality & assurance testing phase where user bugs are identified with security & bug analysis & if it is passed, then it is sent to the pre-production phase, or else it is sent back to GitHub version control with feedbacks & analysis report for the developers to work on.
In the pre-production phase, all the cloud jobs & load balancer jobs like availability in zone A & B are done to easily auto-deploy for the production phase where the results are uploaded on the internet, ie. Movements of Pre-production to run it for real & all the snapshot backups are maintained.
The practices it follows
Minimum Viable Product:
It delivers the smallest viable application, which then is improved in later phases with a rapid release method focusing on feedback aiming to deliver values.
Here overspecialization is avoided by the dedicated functional teams & work with cross-functional teams to ensure the project is in the same direction.
With the usage of loose Architecture coupling, the complexity is diminished with delivery in small batches. This delivery in small batches exposes uncertain issues & gives feedback for betterment.
The GitHub plays a major role here, enabling transparency in every step, which also eliminates overhead & minimizes distraction with periodic & manual status reports ensuring speedy delivery.
With automation testing using API shifts, the manual testing to automated testing reducing cost by maintaining quality, accuracy & delivery speed.
What DevOps engineers do?
An engineer works on network & storage with his knowledge of coding language understands the automation tools to deploy virtualization to better the security aspects of IT in an organization. He has profound knowledge in working with open source tools and managing source codes. The Agile methodology of Project management enables the engineer in an iteration of software development & testing. Thus working for clarity in business goals as a whole & strategizing the entire integration.